Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation
type: Item
instance of: scholarly article
title: Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation
author: Amirhossein Arzani
author: Kevin W. Cassel
author: Roshan M. D'Souza
published in: Journal of Computational Physics
publication date: 2022-11-29T00:00:00Z
Mathematics Subject Classification ID: 92Cxx
Mathematics Subject Classification ID: 76Dxx
Mathematics Subject Classification ID: 76Mxx
zbMATH DE Number: 7625430
zbMATH Keywords: scientific machine learning
zbMATH Keywords: deep learning
zbMATH Keywords: data-driven modeling
zbMATH Keywords: asymptotic expansion
zbMATH Keywords: convective transport
describes a project that uses: XPINNs
describes a project that uses: bvp4c
describes a project that uses: DeepONet
MaRDI profile type: Publication
full work available at URL: j.jcp.2022.111768
OpenAlex ID: W4308978381
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DOI: 10.1016/J.JCP.2022.111768
description: scientific article; zbMATH DE number 7625430